:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Donghyun, Park, Jaehyoung
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.10117
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Self-training Framework for Fine-grained Scene Graph Generation
by: Kim, Kibum, et al.
Published: (2024)

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving
by: Zhang, Yi, et al.
Published: (2025)

Exploring Camera Encoder Designs for Autonomous Driving Perception
by: Lakshmanan, Barath, et al.
Published: (2024)

Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection
by: An, Sojung, et al.
Published: (2025)

COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
by: Park, Seohyoung, et al.
Published: (2026)

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
by: Huang, Minqing, et al.
Published: (2026)

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles
by: Liao, Haicheng, et al.
Published: (2025)

Vision-Integrated LLMs for Autonomous Driving Assistance : Human Performance Comparison and Trust Evaluation
by: Kim, Namhee, et al.
Published: (2025)

Image-Guided Outdoor LiDAR Perception Quality Assessment for Autonomous Driving
by: Zhang, Ce, et al.
Published: (2024)

Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
by: Kim, Dong-Hee, et al.
Published: (2026)

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
by: Zuo, Sicheng, et al.
Published: (2026)

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
by: Tang, Zecong, et al.
Published: (2026)

CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
by: Khairy, Sherif, et al.
Published: (2026)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
by: Xu, Huaiyuan, et al.
Published: (2024)

Your Embedding Model is SMARTer Than You Think
by: Zhang, Jianrui, et al.
Published: (2026)

Is it safe to cross? Interpretable Risk Assessment with GPT-4V for Safety-Aware Street Crossing
by: Hwang, Hochul, et al.
Published: (2024)

Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation Models
by: Shah, Imad Ali, et al.
Published: (2024)

AD$^2$: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
by: Sahu, Ishan, et al.
Published: (2026)

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving
by: Yu, Seungjun, et al.
Published: (2025)

SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
by: Zhang, Haiming, et al.
Published: (2025)

Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
by: Ren, Shunli, et al.
Published: (2023)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
by: Kim, Sungyeon, et al.
Published: (2023)

DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
by: Huang, Xiang, et al.
Published: (2024)

Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
by: Lian, Weitong, et al.
Published: (2026)

Training-Free Label Space Alignment for Universal Domain Adaptation
by: Lee, Dujin, et al.
Published: (2025)

RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions
by: Jin, Youngwan, et al.
Published: (2025)

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data
by: Kim, Dong-Hee, et al.
Published: (2025)

From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving
by: Xia, Xinyu, et al.
Published: (2025)

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving
by: Li, Yingwei, et al.
Published: (2026)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
by: Kim, Kibum, et al.
Published: (2023)

Bad Seeing or Bad Thinking? Rewarding Perception for Vision-Language Reasoning
by: Wang, Haozhe, et al.
Published: (2026)

DVGT: Driving Visual Geometry Transformer
by: Zuo, Sicheng, et al.
Published: (2025)

TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving
by: Fan, Mingyu, et al.
Published: (2026)

Towards Robust Unsupervised Attention Prediction in Autonomous Driving
by: Qi, Mengshi, et al.
Published: (2025)

Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
by: Iurada, Leonardo, et al.
Published: (2024)

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation
by: Cao, Jiajun, et al.
Published: (2026)

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
by: Li, Yingyan, et al.
Published: (2025)

Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval
by: Jang, Young Kyun, et al.
Published: (2024)

Learning Vision-Language-Action World Models for Autonomous Driving
by: Wang, Guoqing, et al.
Published: (2026)